Do Violent People Smile: Social Media Analysis of their Profile Pictures

Mauro Coletto, C. Lucchese, S. Orlando
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引用次数: 3

Abstract

The popularity of online social platforms has also determined the emergence of violent and abusive behaviors reflecting real life issues into the digital arena. Cyberbullying, Internet banging, pedopornography, sexting are examples of these behaviors, as witnessed in the social media environments. Several studies have shown how to approximately detect those behaviors by analyzing the social interactions and in particular the content of the exchanged messages. The features considered in the models basically include detection of o ensive language through NLP techniques and vocabularies, social network structural measures and, if available, user context information. Our goal is to investigate those users who adopt offensive language and hate speech in Twitter by analyzing their profile pictures. Results show that violent people smile less and they are dominating by anger, fear and sadness.
暴力的人会微笑吗:社交媒体对他们头像的分析
网络社交平台的普及也决定了暴力和虐待行为的出现,这些行为反映了现实生活中的问题。在社交媒体环境中可以看到,网络欺凌、网络勾搭、儿童色情、性短信都是这些行为的例子。一些研究已经展示了如何通过分析社交互动,特别是交换信息的内容来近似地检测这些行为。模型中考虑的特征主要包括通过NLP技术和词汇表检测攻击性语言、社交网络结构措施以及(如果可用的话)用户上下文信息。我们的目标是通过分析他们的头像来调查那些在推特上使用攻击性语言和仇恨言论的用户。结果表明,暴力的人微笑较少,他们被愤怒、恐惧和悲伤所控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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